{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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paXq6wdyszpUnsLigWpujR49w8aKehDqddmGqqZTLbHY0F9V6rwh/AyiCGsTn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\nzzZ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dC9OsXO6XqwhK5HTcuHYFi4tUJzU3O4+fbJDz1WkdIOIaq5+88Q5OnKC5CYoTWGRG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\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kZ9c5chb6NDQKPV+M95NhshRTjuEjF9WsyPCY66c2fGnJ5Bu1Ojoe0wmkKY5OSHDvnF+G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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b80044e6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ojo+PAZicnKTb7bK3t8fe3h5msxmTycSTJ09kH7jdbnK5HKenp4JqpdNpTCYTZ2dnmM1m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\nrVYrMpmM8upICDeZTLpedNG53W4VYBwFMhw9HA6L60Zqvc/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1VcUfx4IcN3LMWVFRgby8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\n0kAWY5IkSQNZjEmSJA30HQ/mhLUUXQK8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b87e210940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Inline Question #1:** Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your Answer**: *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 29.068424 seconds\n",
      "One loop version took 64.307445 seconds\n",
      "No loop version took 0.452173 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# you should see significantly faster performance with the fully vectorized implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndentationError",
     "evalue": "expected an indented block (<ipython-input-17-a9483e8e4bea>, line 49)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-17-a9483e8e4bea>\"\u001b[1;36m, line \u001b[1;32m49\u001b[0m\n\u001b[1;33m    k_to_accuracies[k] = float(num_correct) / num_test\u001b[0m\n\u001b[1;37m                  ^\u001b[0m\n\u001b[1;31mIndentationError\u001b[0m\u001b[1;31m:\u001b[0m expected an indented block\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "\n",
    "X_train_folds = np.array_split(X_train,num_folds)\n",
    "y_train_folds = np.array_split(y_train,num_folds)\n",
    "\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "\n",
    "for k in range(len(k_choices)):\n",
    "    for n in range(num_folds):\n",
    "        current_train_fold_x = np.concatenate(tuple([X_train_folds[i] for i in range(num_folds) if i!=n]))\n",
    "        current_train_fold_y = np.concatenate(tuple([y_train_folds[i] for i in range(num_folds) if i!=n]))\n",
    "        \n",
    "        classifier.train(current_train_fold_x, current_train_fold_y)\n",
    "        \n",
    "        y_test_pred = classifier.predict_labels(X_train_folds[n], k=k)\n",
    "        \n",
    "        num_correct = np.sum(y_test_pred == y_train_folds[n])\n",
    "        \n",
    "        if k not in k_to_accuracies:\n",
    "            k_to_accuracies[k] = float(num_correct) / num_test\n",
    "            #print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))\n",
    "        \n",
    "        \n",
    "\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 1\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  }
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